Advanced robotic grasping system using deep learning

Procedia Engineering

Volumn 96, Issue , 2014, Pages 10-20

  Bezak, Pavol ^a   Bozek, Pavol ^a   Nikitin, Yuri ^b  

^a SLOVAK UNIVERSITY OF TECHNOLOGY   (Slovakia)

^b KALASHNIKOV IZHEVSK STATE TECHNICAL UNIVERSITY   (Russian Federation)

Author keywords

Deep learning; Grasping; Modeling; Neural networks; Object recognition; Pose estimation; Robot hand

Indexed keywords

COMPUTER CONTROL SYSTEMS; END EFFECTORS; GESTURE RECOGNITION; MODELS; NEURAL NETWORKS; OBJECT RECOGNITION; ROBOTIC ARMS; ROBOTICS; ROBOTS; UNCERTAINTY ANALYSIS;

COMPUTER VISION SYSTEM; CONTACT MODELING; DEEP LEARNING; GRASPING; NEURAL NETWORK TOOLBOXES; POSE ESTIMATION; ROBOT HAND; STIFFNESS PROPERTIES;

COMPUTER VISION;

EID: 84923683217     PISSN: None     EISSN: 18777058     Source Type: Conference Proceeding    
DOI: 10.1016/j.proeng.2014.12.092     Document Type: Conference Paper

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